VQ image steganographic method with high embedding capacity using multi-way search approach

Chin Chen Chang; Chih Yang Lin; Yu Zheng Wang

doi:10.1007/11553939_148

VQ image steganographic method with high embedding capacity using multi-way search approach

Chin Chen Chang, Chih Yang Lin, Yu Zheng Wang

Department of Mechanical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

Embedding large quantities of data in VQ (Vector Quantization) images is a thorny problem, since the hiding schemes usually have to change the index values of the VQ images, which might cause serious image distortion. As a result, many currently existing methods can only afford to support a small embedding capacity. In this article, we shall propose a new method that uses the genetic clustering technique on the codebook to obtain better clusters so that the replacement distortion of indices can be reduced. Then, we apply multi-way search to hide the secret data. Experimental results show that our new method outperforms existing schemes on both image quality and embedding capacity.

Original language	English
Title of host publication	Knowledge-Based Intelligent Information and Engineering Systems - 9th International Conference, KES 2005, Proceedings
Publisher	Springer Verlag
Pages	1058-1064
Number of pages	7
ISBN (Print)	3540288961, 9783540288961
DOIs	https://doi.org/10.1007/11553939_148
State	Published - 2005
Event	9th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2005 - Melbourne, Australia Duration: 14 Sep 2005 → 16 Sep 2005

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	3683 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	9th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2005
Country/Territory	Australia
City	Melbourne
Period	14/09/05 → 16/09/05

Keywords

Clustering
Data hiding
Multi-way search
Steganography

Access to Document

10.1007/11553939_148

Cite this

Chang, C. C., Lin, C. Y., & Wang, Y. Z. (2005). VQ image steganographic method with high embedding capacity using multi-way search approach. In Knowledge-Based Intelligent Information and Engineering Systems - 9th International Conference, KES 2005, Proceedings (pp. 1058-1064). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3683 LNAI). Springer Verlag. https://doi.org/10.1007/11553939_148

Chang, Chin Chen ; Lin, Chih Yang ; Wang, Yu Zheng. / VQ image steganographic method with high embedding capacity using multi-way search approach. Knowledge-Based Intelligent Information and Engineering Systems - 9th International Conference, KES 2005, Proceedings. Springer Verlag, 2005. pp. 1058-1064 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{245228c5ea424fb0ae248113f67e2433,

title = "VQ image steganographic method with high embedding capacity using multi-way search approach",

abstract = "Embedding large quantities of data in VQ (Vector Quantization) images is a thorny problem, since the hiding schemes usually have to change the index values of the VQ images, which might cause serious image distortion. As a result, many currently existing methods can only afford to support a small embedding capacity. In this article, we shall propose a new method that uses the genetic clustering technique on the codebook to obtain better clusters so that the replacement distortion of indices can be reduced. Then, we apply multi-way search to hide the secret data. Experimental results show that our new method outperforms existing schemes on both image quality and embedding capacity.",

keywords = "Clustering, Data hiding, Multi-way search, Steganography",

author = "Chang, {Chin Chen} and Lin, {Chih Yang} and Wang, {Yu Zheng}",

year = "2005",

doi = "10.1007/11553939_148",

language = "???core.languages.en_GB???",

isbn = "3540288961",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Verlag",

pages = "1058--1064",

booktitle = "Knowledge-Based Intelligent Information and Engineering Systems - 9th International Conference, KES 2005, Proceedings",

note = "9th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2005 ; Conference date: 14-09-2005 Through 16-09-2005",

}

Chang, CC, Lin, CY & Wang, YZ 2005, VQ image steganographic method with high embedding capacity using multi-way search approach. in Knowledge-Based Intelligent Information and Engineering Systems - 9th International Conference, KES 2005, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 3683 LNAI, Springer Verlag, pp. 1058-1064, 9th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2005, Melbourne, Australia, 14/09/05. https://doi.org/10.1007/11553939_148

VQ image steganographic method with high embedding capacity using multi-way search approach. / Chang, Chin Chen; Lin, Chih Yang; Wang, Yu Zheng.
Knowledge-Based Intelligent Information and Engineering Systems - 9th International Conference, KES 2005, Proceedings. Springer Verlag, 2005. p. 1058-1064 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3683 LNAI).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - VQ image steganographic method with high embedding capacity using multi-way search approach

AU - Chang, Chin Chen

AU - Lin, Chih Yang

AU - Wang, Yu Zheng

PY - 2005

Y1 - 2005

N2 - Embedding large quantities of data in VQ (Vector Quantization) images is a thorny problem, since the hiding schemes usually have to change the index values of the VQ images, which might cause serious image distortion. As a result, many currently existing methods can only afford to support a small embedding capacity. In this article, we shall propose a new method that uses the genetic clustering technique on the codebook to obtain better clusters so that the replacement distortion of indices can be reduced. Then, we apply multi-way search to hide the secret data. Experimental results show that our new method outperforms existing schemes on both image quality and embedding capacity.

AB - Embedding large quantities of data in VQ (Vector Quantization) images is a thorny problem, since the hiding schemes usually have to change the index values of the VQ images, which might cause serious image distortion. As a result, many currently existing methods can only afford to support a small embedding capacity. In this article, we shall propose a new method that uses the genetic clustering technique on the codebook to obtain better clusters so that the replacement distortion of indices can be reduced. Then, we apply multi-way search to hide the secret data. Experimental results show that our new method outperforms existing schemes on both image quality and embedding capacity.

KW - Clustering

KW - Data hiding

KW - Multi-way search

KW - Steganography

UR - http://www.scopus.com/inward/record.url?scp=33745326773&partnerID=8YFLogxK

U2 - 10.1007/11553939_148

DO - 10.1007/11553939_148

M3 - 會議論文篇章

AN - SCOPUS:33745326773

SN - 3540288961

SN - 9783540288961

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 1058

EP - 1064

BT - Knowledge-Based Intelligent Information and Engineering Systems - 9th International Conference, KES 2005, Proceedings

PB - Springer Verlag

T2 - 9th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2005

Y2 - 14 September 2005 through 16 September 2005

ER -

Chang CC, Lin CY, Wang YZ. VQ image steganographic method with high embedding capacity using multi-way search approach. In Knowledge-Based Intelligent Information and Engineering Systems - 9th International Conference, KES 2005, Proceedings. Springer Verlag. 2005. p. 1058-1064. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/11553939_148

VQ image steganographic method with high embedding capacity using multi-way search approach

Abstract

Publication series

Conference

Keywords

Access to Document

Fingerprint

Cite this